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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 1926–1950 of 9051 papers

TitleStatusHype
Graph Transformers: A Survey—0
Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation—0
How Chinese are Chinese Language Models? The Puzzling Lack of Language Policy in China's LLMs—0
Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential—0
HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound pose estimation—0
PersonificationNet: Making customized subject act like a person—0
Segmenting Medical Images with Limited DataCode0
UserBoost: Generating User-specific Synthetic Data for Faster Enrolment into Behavioural Biometric Systems—0
Estimation of Distribution Algorithms with Matrix Transpose in Bayesian Learning—0
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical ImagingCode1
Uncovering Semantics and Topics Utilized by Threat Actors to Deliver Malicious Attachments and URLs—0
Enrich the content of the image Using Context-Aware Copy Paste—0
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density—0
On the Universal Truthfulness Hyperplane Inside LLMsCode0
Generalized Face Anti-spoofing via Finer Domain Partition and Disentangling Liveness-irrelevant FactorsCode0
An Unsupervised Domain Adaptation Method for Locating Manipulated Region in partially fake Audio—0
Position: Measure Dataset Diversity, Don't Just Claim It—0
Autoregressive Speech Synthesis without Vector Quantization—0
A 'MAP' to find high-performing soft robot designs: Traversing complex design spaces using MAP-elites and Topology Optimization—0
Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification—0
Dual-stage Hyperspectral Image Classification Model with Spectral SupertokenCode1
Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph DiffusionCode1
Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations—0
Quality Diversity for Robot Learning: Limitations and Future Directions—0
Remastering Divide and Remaster: A Cinematic Audio Source Separation Dataset with Multilingual SupportCode1
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